À propos de ce cours : Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This 1-week, accelerated online course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance

Les destinataires de ce cours : • Data Analysts, Business Analysts, Business Intelligence professionals • Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform

Créé par : Google Cloud

Informations de base	Cours 4 de 4 dans From Data to Insights with Google Cloud Platform Specialization
Niveau	Intermediate
Engagement	1 week of study, 5-7 hours/week
Langue	English
Matériel requis	You'll need a desktop web browser to run this course's interactive labs via Qwiklabs.
Comment réussir	Réussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs	4.7 étoiles Note moyenne des utilisateurs 4.7Voir ce que disent les étudiants

Prévisualiser

Programme de cours

SEMAINE 1

Module 16: Notebooks in the Cloud

In this module we’re going to dive into one of the most important tools for data scientists: the collaborative notebook on the cloud. As you’ll soon see, notebooks are a great way of breaking down a big data or ML problem into distinct and repeatable steps.

9 vidéos, 1 lecture

Vidéo: Demo: Cloud Datalab with BigQuery and Google Analytics
Vidéo: Accessing BigQuery datasets from Cloud Datalab
Vidéo: Visualizing Datasets in Charts
Vidéo: Practice Reading ML Models - Intro
Reading: ML Notebook Example
Vidéo: Demo: Using ML to Map Manhattan
Vidéo: Module Summary
Vidéo: Lab Intro
LTI Item: Qwiklabs – Connecting BigQuery to Cloud Datalab
Vidéo: Lab Walkthrough

Noté: Notebooks in the Cloud

Module 17: Intro to Machine Learning

In this module we’ll explore an overview of what Machine Learning is from a high-level theoretical perspective and then tour how ML has become part of the culture here at Google. After that we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.

7 vidéos

Vidéo: Pre-Trained ML Models
Vidéo: Demo: Cloud Translate and Vision APIs
Discussion Prompt: Explore the Cloud Vision API
Vidéo: Demo: Natural Language Processing API
Discussion Prompt: Explore the Language APIs
Vidéo: Lab Overview
LTI Item: Qwiklabs – Practice with ML APIs within Cloud Datalab
Vidéo: Lab Walkthrough
Vidéo: Advancing from Data Analysis to Data Science

Noté: Intro to Machine Learning

Module 18: Cloud Datalab ML Toolbox

Now that you have an understanding of what Machine Learning is and what it can do, let’s continue to build your skillset with more hands on practice with ML models in Cloud Datalab. This module is about Cloud Datalab’s ML Toolbox which provides a friendly abstraction layer instead of writing TensorFlow ML code.

11 vidéos

Vidéo: End-to-end ML Phases Overview
Vidéo: Model Training
Vidéo: Model Evaluation
Vidéo: Model Prediction
Vidéo: Model Training with the Cloud
Vidéo: Model Evaluation with Cloud Dataflow
Vidéo: Model Prediction and Deployment with CMLE
Vidéo: Model Monitoring with CMLE
Vidéo: Lab Overview
LTI Item: Qwiklabs – End-to-End ML Practice with ML Toolbox
Vidéo: Lab Walkthrough

Noté: Cloud ML Toolbox

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Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Créateurs

Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Tarification

	Acheter le cours
Accéder au contenu du cours	Disponible
Accéder au contenu noté	Disponible
Recevoir une Note Finale	Disponible
Obtenir un Certificat de Cours partageable	Disponible